Modeling Pyrus calleryana spread in central Missouri using remote sensing and a non-parametric modeling approach

Invasive species pose a unique threat to native species and habitat through direct and indirect competition of resources. Management of invasive species depends on precise identification of their current range and knowledge of how they spread. This project will utilize Plantescope Satellite Imagery to identify the presence of Callery Pear, an invasive ornamental tree species

Developing a Web-Based Interface to Manage Sensor Technologies in the Homes of Older Adults

Internet of Things sensors capture daily activities and physiological data that can improve care for older adults. Sensors have the potential to enable health coaching for self-management and care coordination by connecting individuals to care providers and informal caregivers. However, remote management of diverse sensor technologies and integration of disparate data for decision-making are major barriers

The impact of treatment adjustment in breast cancer by Cerner Real-World Data during pandemic

The global burden of the ongoing COVID-19 pandemic has predominantly been measured using metrics like case numbers, hospitalizations and deaths. However, the short-term health impacts are more difficult to capture, especially for breast cancer(BC) patients. An expert opinion formulated by multiple national organizations provided preliminary guidance on the prioritization and treatment of breast cancer(BC) during

The Soybean Allele Catalog Tool: A Web-Based Interactive Tool for Gene Alleles Discovery

The advancement of sequencing technologies has made a plethora of whole genome sequenced (WGS) data publicly available. However, utilizing the raw WGS data will not generate promising research outcomes for agriculture. To solve this problem, the Soybean Allele Catalog Tool (https://soykb.org/SoybeanAlleleCatalogTool/search.php) has been developed to assist researchers in gaining insights into soybean genotypes associated with

Understanding Common Key Indicators of Successful and Unsuccessful Cancer Drug Trials Using Contrast Mining

Clinical trials are essential in the process of new drug development. As clinical trials involve significant investments of time and money, it is crucial for trial designers to carefully investigate trial settings prior to designing the trial. Utilizing trial documents from ClinicalTrials.gov, we aim at understanding common characteristics of successful and unsuccessful cancer drug trials

Do viruses experience culture shock?

Viruses have the potential to cause enormous health, social, and economic burdens. These burdens are demonstrated by influenza viruses, which cause seasonal epidemics, and SARS-CoV-2 viruses, which caused the ongoing COVID-19 pandemic resulting in over 4.55 million deaths. Virus research and vaccine strain selection often require viruses to be propagated in cell lines or embryonated chicken

A COVID-19 Geospatial Population Health Risk Assessment for Missouri

Aim: Design and analyze a multifactor spatial database to assess COVID-19 risk across individual, community, social, infrastructure and culture contexts at the county level to provide quantitative insight and statistical support for potential mitigation areas. Methods: COVID-19 studies require vast amounts of integrated data to create understanding. MU’s Geospatial Analytical Research Knowledgebase (GeoARK) is a

SEE-Diabetes, a Patient-Centered Diabetes Self-Management Education and Support for Older Adults: Findings and Information Needs from Patients’ Perspectives

Objectives: This study seeks to understand the information needs of people with diabetes aged 65 and older gathered through survey and focus groups to inform development of an educational decision aid, SEE-Diabetes (Support-Engage-Empower-Diabetes). The SEE-Diabetes aid provides patient-centered self-management education and support for older people with diabetes. Methods: We surveyed 82 University of Missouri Health Care patients with

P3DB-4.0: a large-scale plant protein phosphorylation database from diverse species to phosphosite conservation

Since the last version (version 3) of the P3DB was published in 2014, we are very encouraged to see that more and more plant scientists have been using our database including reanalysis of our data collections. In this new version (version 4.0), we extensively re-innovated our database to a brand-new platform (https://www.p3db.org) for accommodating much

Predictive Models for Early Detection of Glaucoma using Electronic Health Records

Glaucoma is the second leading cause of irreversible blindness across the world. Around 70 million people have glaucoma, and 4.4 million people are blind due to undiagnosed glaucoma by optic nerve damage worldwide. Studies suggest that early detection of glaucoma is critically essential for the prevention of irreversible blindness. Effective use of electronic health records

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